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thuml/awesome-multi-task-learning
A curated list of DATASETS, CODEBASES and PAPERS on Multi-Task Learning (MTL), from Machine Learning perspective.
829 65 +0/wk
GitHub
adapter awesome-list computer-vision deep-learning deep-neural-networks loss-strategy machine-learning multi-domain-learning multi-task-architecture multi-task-learning multi-task-optimization neural-language-processing
Trend
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Star & Fork Trend (32 data points)
Stars
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Growth Velocity
thuml/awesome-multi-task-learning has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | awesome-multi-task-learning | MONAILabel | human-learn | agent-kit |
|---|---|---|---|---|
| Stars | 829 | 829 | 830 | 830 |
| Forks | 65 | 263 | 56 | 123 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | N/A | Python | Jupyter Notebook | TypeScript |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | Apache-2.0 | MIT | Apache-2.0 |
Capability Radar vs MONAILabel
awesome-multi-task-learning
MONAILabel
Maintenance Activity 83
Last code push 37 days ago.
Community Engagement 39
Fork-to-star ratio: 7.8%. Lower fork ratio may indicate passive usage.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.